Back to Glossary

Entry · Investing

Selfish Mining

Selfish mining is a proof-of-work blockchain strategy in which miners withhold newly found blocks and selectively release them to gain an advantage in the competition for accepted blocks. Its objective is a larger share of mining revenue than the group's share of computational work would suggest.

It concerns incentives and publication strategy, not simply operating a mining pool or automatically controlling a majority of the network.

From the Money Master HQ dictionary, founded by Shihan Sheriff (FCMA, VP of Finance at Nomod, CFO at Esanjo Ventures). How these definitions are written.

What it means

In ordinary proof-of-work operation, miners publish a discovered block so others can build on it, and rewards depend on which blocks remain in the accepted chain. A valid block can lose that reward opportunity if a competing branch wins.

Withholding changes what other miners can see: a group can work on a private branch while outside miners continue building on the visible chain, and selective publication can then cause competing work to become stale rather than part of the accepted history. The important distinction is strategic release.

An ordinary network delay or accidental competing block does not itself prove selfish mining, because the strategy uses information about private and public branch progress to improve the withholding group's expected reward outcome. Ittay Eyal and Emin Gun Sirer's paper, Majority is not Enough, analysed this incentive problem and showed conditions under which a colluding minority could earn more than its proportional resource share, challenging the idea that every profitable deviation requires majority control.

The analysis depends on its protocol and network assumptions, and computational share and the ability to attract other miners to a published branch affect the outcome. One model's threshold is not universal across networks.

Revenue advantage is also different from simply finding more blocks, since a group's block discoveries, accepted blocks and rewards can diverge when competing work is discarded, so evaluating the strategy requires the accepted-chain reward result rather than a count of all attempted work. Pool membership does not automatically imply selfish mining.

Pools normally combine resources to reduce reward variability and allocate proceeds among participants, so withholding is separate behaviour requiring evidence. In the paper's model, miners may have reason to join a group earning a disproportionate return, which is a modelled incentive and possible network consequence, not proof that every existing large pool has followed the strategy.

Selfish mining and a fifty-one-percent attack have different immediate descriptions: majority attacks are commonly discussed through transaction-history replacement or double spending, while selfish mining focuses on block publication and reward incentives and can be analysed below majority control. The existence of the strategy does not mean miners can forge another person's signature or spend arbitrary wallet balances, because protocol validity and cryptographic ownership checks still matter.

Consensus incentives do not confer unlimited asset control. Detection is difficult because public observers do not directly see every private branch while it is withheld.

Stale-block patterns, unusual publication timing and network evidence may support investigation, but none should be treated alone as conclusive proof, and one unusual event does not prove misconduct. For a non-finance manager assessing a mining venture or blockchain risk, ask what protocol assumptions support the claim, which reward evidence was measured, and whether the issue is a theoretical vulnerability, observed behaviour or the effect of a proposed defence, remembering that a research result is neither a guaranteed profitable trading plan nor a verdict on every network.

In practice

Real-world examples.

1

Example

A fictional research simulation gives a pool a minority computational share. The pool's modelled reward share exceeds that proportion under the tested publication strategy. The result concerns those assumptions, not proof of misconduct by a real pool.

2

Example

Two honest miners find competing blocks because of network delay. A reviewer does not label the event selfish mining without evidence of strategic withholding. A stale block can arise without deliberate manipulation.

3

Example

An investor assumes only a group above fifty percent can distort incentives. The analyst distinguishes reward-withholding models from majority double-spend scenarios. Different vulnerabilities require different questions.

Formula

Calculation

Illustrative reward-share comparison = accepted rewards earned by a group / total accepted rewards. If an assumed group has 30% of computational resources but receives 35 of 100 equal rewards, its reward share is 35%, five percentage points above its resource share. These invented figures show the distinction. They are not a measured profitability threshold or proof that withholding guarantees that result.

Case study

Seen in the real world.

Fictional case study: Elm Mining's investor presentation assumes rewards always equal computational share. The technical reviewer flags a protocol-incentive question rather than accepting that equality as certain. The team examines the academic model and its assumptions about publication and competing branches.

It separates accepted reward shares from total blocks discovered. The risk report now identifies the conditions under which incentives may differ. It does not accuse a real pool or promise that a modelled strategy can be reproduced commercially.

Watch out

Common mistakes.

  • Equating every mining pool or stale block with deliberate selfish mining.
  • Treating one model's threshold as universal across protocols and networks.
  • Confusing a reward-incentive result with unrestricted control over wallet signatures or assets.

Questions

People also ask.

Does it necessarily require majority control?

No. Research analyses disproportionate rewards for minority groups under specified conditions.

Is every stale block evidence of the strategy?

No. Ordinary competing discoveries and delays can also create stale blocks.

Is the theoretical result a guaranteed profit?

No. Protocol, network, costs and actual behaviour determine outcomes.

Was this explanation helpful?

From the founder's library

Accounting Fundamentals: A Non-Finance Manager's Guide to Finance and Accounting, by Shihan Sheriff

Take it further with the book.

Build your financial confidence beyond this definition. Shihan's full-length guide, Accounting Fundamentals, takes the same plain-English approach and turns it into a complete, practical playbook for non-finance managers, business owners and students - with chapter-end quiz answers and presentation slides included.

US$2.24US$2.99

25% off with code MMHQ25, applied at checkout. Priced in USD - checkout may show the equivalent in your local currency.

View the book and save 25%
Last updated · October 8, 2026
Browse all terms →

Disclaimer

The information provided in this finance dictionary is for educational and informational purposes only. It should not be construed as financial, investment, legal, or tax advice. Always consult with a qualified professional before making any financial decisions. Money Master HQ makes no representations or warranties about the accuracy, completeness, or suitability of this information. Use of this content is at your own risk.